Zeta Global, Snowflake Launch Universal Data Standard for Marketing AI
Zeta Global and Snowflake announce the Open Semantic Interchange, a vendor-neutral data standard designed to eliminate conflicting metrics across marketing stacks and improve AI reliability.
Every enterprise marketing team runs on data. But here is the problem: the "conversion rate" your dashboard shows probably does not match what your AI model uses, which may not match what your data analysts report. Three teams, three definitions, one metric. When AI is built on top of that mess, the outputs are unreliable.
That is the problem Zeta Global and Snowflake are trying to fix together.
On May 14, 2026, Zeta Global announced it is joining the Open Semantic Interchange (OSI), an open-source initiative led by Snowflake that gives companies a shared, vendor-neutral way to define their business data. The goal is simple: every tool in your marketing stack, from dashboards to machine learning models to notebooks, reads from the same definitions. No more translation errors between platforms.
Why Fragmented Definitions Kill AI Performance
Most enterprise marketing teams operate a mix of tools that were never designed to talk to each other. Each platform uses its own internal language for the same concepts. What one system calls "engagement" another labels "interaction." What one model counts as a "conversion" another ignores.
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This fragmentation is not just inconvenient. When AI models are trained or run on inconsistent data inputs, the resulting insights cannot be trusted. Teams end up second-guessing their own analytics.
"AI is only as effective as the data it can trust," said Christian Monberg, Chief Technology Officer and Head of Product at Zeta Global. "We process trillions of consumer signals across the marketing ecosystem, and we see firsthand how fragmented definitions erode trust in analytics and AI."
OSI addresses this at the structural level. The initiative creates a common specification that defines semantic metadata (the meaning and context behind data fields) in a standard, open format. It covers multiple domains including business intelligence, data governance, data engineering, AI, financial services, and manufacturing.
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What OSI Actually Does
OSI provides a specification that any company can adopt to describe their data in a consistent, machine-readable way. It is vendor-agnostic, meaning no single company controls it or benefits from locking customers in.
For Zeta's enterprise customers, joining OSI has a direct practical benefit. Their data from the Zeta Marketing Platform (ZMP) can now interoperate seamlessly with other OSI-compliant tools in their stack. Instead of spending time reconciling conflicting metrics between systems, teams can focus on actually using the insights.
"Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock," said Josh Klahr, Director of Analytics Product Management at Snowflake. "This initiative is essential for simplifying data operations, fostering innovation, and preparing organizations to build the next generation of AI applications."
What This Means for Marketing Leaders
The more AI becomes central to marketing decisions, whether for personalization, campaign optimization, or audience targeting, the more the underlying data quality matters. Unreliable data does not just produce bad reports. It produces bad AI decisions, at scale and at speed.
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For marketing and technology leaders managing multi-vendor stacks, a vendor-neutral semantic standard like OSI reduces a specific kind of risk: the integration complexity that grows every time a new tool joins the stack. When every platform speaks the same data language, adding a new tool becomes significantly less painful.
Zeta's participation in OSI also signals something broader. The initiative brings together ecosystem partners across business intelligence, AI, financial services, and other industries, suggesting that data interoperability is becoming an industry-wide priority rather than a competitive advantage held by individual vendors.
The announcement reinforces a straightforward idea that marketing technologists have known for years but rarely solved: AI is only as good as the data it runs on. OSI is a structural bet that the industry can finally fix that.
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